A deep fully residual convolutional neural network for segmentation in EM images.
Juanjuan HeSong XiangZiqi ZhuPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2020)
Keyphrases
- segmentation algorithm
- segmentation method
- test images
- image analysis
- edge detection
- image regions
- image data
- segmentation errors
- convolutional neural network
- three dimensional
- segmentation accuracy
- image database
- ground truth
- fully automatic
- adaptive thresholding
- image segmentation
- segmented images
- pixel wise
- accurate segmentation
- grey level
- input image
- tubular structures
- unsupervised segmentation
- microscopic images
- gray value
- pixel level
- image segments
- image features
- outdoor scenes
- image registration
- object segmentation
- region growing
- object recognition
- multiple objects
- microscope images
- intensity images
- medical images
- positron emission tomography
- image retrieval
- image slices
- graph cuts
- neural network
- pigmented skin lesions
- image segmentation algorithms
- low contrast
- bounding box
- face detection
- generative model
- maximum likelihood
- level set
- probabilistic model
- multiscale
- image processing